Owns the operating model, and delivery of Master Data Management (MDM) across the enterprise so core entities are accurate, de-duplicated, governed. Stand up golden records, survivorship rules, stewardship workflows, and integration patterns that feed internal and external systems, data products safely. Partner with Data Owners, internal teams within and outside Global technology and ecosystem partners to meet SLAs and with Architecture and Integrations COE to embed secure, reusable patterns
responsibilities :
Defines the MDM vision, operating model, and multi-wave roadmap (e.g., Vendors/Materials → Customers/Locations → Employees) tied to business value (touchless AP, OTIF, cost-to-serve, compliance)
Builds the business case, budget, and sequencing with PMO; aligns with Data Governance policies and A&I reference patterns
Partners with the Governance, Quality & Lineage Lead to embed DQ checks around MDM entities and publishes lineage (source → products → BI/AI)
Enforces data contracts for producer/consumer interfaces; blocks breaking changes; runs impact analysis and remediation
Ensures golden IDs/records are available to IA bots and AI/RAG safely (label sensitivity, apply redaction/masking for HR/Legal)
Provides feature/enrichment feeds and freshness guarantees required by AI Platform & Safety; participates in launch readiness reviews
Leads DPIAs for new master data uses; maintains exceptions register; evidences approvals, lineage, access logs, and test results
Ensures SoD, retention, and residency policies are applied; supports internal/external audits
Publishes playbooks, steward training, and comms; run a Steward Community of Practice and office hours
Tracks usage of golden data, retire duplicates, and drives migration of consumers to certified interfaces
requirements-expected :
Bachelor’s in Information Systems, Computer Science, Data Management/Engineering, or related field
Master’s in IS/Data/Analytics or MBA with data focus
Certifications: CDMP (DAMA) or equivalent; MDM platform accreditation (e.g., Informatica/Reltio/Semarchy/etc.); privacy/security basics (e.g., ISO 27001 foundation), ITIL Foundation
5–7+ years in data management with 3+ years hands-on MDM delivery (party/vendor/material/customer/location/employee) and 2+ years leading MDM/stewardship programs
Proven design/tuning of match/merge & survivorship, unmerge controls, remediation workflows, and downstream adoption into analytics & operational systems
Working knowledge of data quality, lineage/metadata, data contracts, and GDPR/PII policies; comfort with warehouses/lakehouses (Snowflake/BigQuery/Databricks), dbt models, APIs/events, and batch/stream integrations
Experience and good knowledge of Supply Chain, Logistics is an advantage
